Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
A citation-based document retrieval system for finding research expertise
Information Processing and Management: an International Journal
A user reputation model for a user-interactive question answering system: Research Articles
Concurrency and Computation: Practice & Experience - Progress of the Knowledge Grid (SKG2005)
QuME: a mechanism to support expertise finding in online help-seeking communities
Proceedings of the 20th annual ACM symposium on User interface software and technology
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A predictive framework for retrieving the best answer
Proceedings of the 2008 ACM symposium on Applied computing
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Voting techniques for expert search
Knowledge and Information Systems
Modeling multi-step relevance propagation for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Quality-aware collaborative question answering: methods and evaluation
Proceedings of the Second ACM International Conference on Web Search and Data Mining
A Vector Space Model for Ranking Entities and Its Application to Expert Search
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Determining expert profiles (with an application to expert finding)
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Probabilistic models for expert finding
ECIR'07 Proceedings of the 29th European conference on IR research
High quality expertise evidence for expert search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Modeling documents as mixtures of persons for expert finding
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Recommending QA documents for communities of question-answering websites
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
User profiling for answer quality assessment in Q&A communities
Proceedings of the 2013 workshop on Data-driven user behavioral modelling and mining from social media
QA document recommendations for communities of question-answering websites
Knowledge-Based Systems
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Question answering websites are becoming an ever more popular knowledge sharing platform. On such websites, people may ask any type of question and then wait for someone else to answer the question. However, in this manner, askers may not obtain correct answers from appropriate experts. Recently, various approaches have been proposed to automatically find experts in question answering websites. In this paper, we propose a novel hybrid approach to effectively find experts for the category of the target question in question answering websites. Our approach considers user subject relevance, user reputation and authority of a category in finding experts. A user's subject relevance denotes the relevance of a user's domain knowledge to the target question. A user's reputation is derived from the user's historical question-answering records, while user authority is derived from link analysis. Moreover, our proposed approach has been extended to develop a question dependent approach that considers the relevance of historical questions to the target question in deriving user domain knowledge, reputation and authority. We used a dataset obtained from Yahoo! Answer Taiwan to evaluate our approach. Our experiment results show that our proposed methods outperform other conventional methods.